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CONFORMANCE_PLAN.md

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rustVX OpenVX Conformance Achievement Plan

Current Status

Phase Overview

Phase Status Description
Phase 1: Core Framework ✅ COMPLETE Context, Graph, Reference management
Phase 2: Data Objects ✅ COMPLETE Images, Scalars, Arrays, Thresholds, Convolutions, Matrix, LUT, Distribution, Pyramid, Remap, Delay, Object Arrays
Phase 3: Vision Algorithms ✅ COMPLETE 40+ vision kernels implemented with actual algorithms
Phase 4: CTS Integration & Edge Cases 🔄 IN PROGRESS CTS test suite integration, fixing edge cases
Phase 5: Performance Optimization ⏳ FUTURE SIMD optimizations, performance tuning

Current Metrics

Metric Value
Functions Exported ~300 (was ~32 in initial plan)
Baseline Tests 25/25 passing (100%)
KernelName Tests 42/42 passing (100%)
Vision Kernels 40+ implemented
Total Tests Passing ~70+
Graph Execution Working ✅

What Works

  • ✅ Core framework architecture (Context, Graph, Reference management)
  • ✅ ~300 API functions exported (complete core implementation)
  • ✅ All data objects fully implemented
  • ✅ 40+ vision kernels with actual algorithms
  • ✅ 25/25 Baseline tests passing (100%)
  • ✅ 42/42 KernelName tests passing (100%)
  • ✅ Graph execution functional
  • ✅ Basic C FFI bindings fully functional
  • ✅ ~70+ total tests passing

In Progress

  • 🔄 CTS Integration (resolving edge cases and test-specific issues)
  • 🔄 Final conformance validation

Future Work

  • ⏳ SIMD optimizations (SSE2/AVX2/NEON acceleration)
  • ⏳ Performance tuning

Historical Plan (Execution Completed)

The following sections document the original execution plan, now completed.

Round 1: Core Reference & Context Functions (Foundation)

Status: ✅ COMPLETE Dependencies: None Scope: Complete the reference management and context query functions

Round 2: Graph & Node Management

Status: ✅ COMPLETE Dependencies: Round 1 Scope: Complete graph and node attribute management

Round 3: Kernel Loading & User Kernels

Status: ✅ COMPLETE Dependencies: Round 1-2 Scope: Complete kernel management and user kernel support

Round 4: Image Operations

Status: ✅ COMPLETE Dependencies: Round 1 Scope: Complete image API

Round 5: Scalar Implementation

Status: ✅ COMPLETE Dependencies: Round 1 Scope: Complete scalar data objects

Round 6: Array Implementation

Status: ✅ COMPLETE Dependencies: Round 1 Scope: Complete array data objects

Round 7: Threshold Implementation

Status: ✅ COMPLETE Dependencies: Round 1 Scope: Complete threshold data objects

Round 8: Convolution Implementation

Status: ✅ COMPLETE Dependencies: Round 1 Scope: Complete convolution data objects

Round 9: Matrix & LUT Implementation

Status: ✅ COMPLETE Dependencies: Round 1 Scope: Complete matrix and LUT data objects

Round 10: Distribution & Pyramid Implementation

Status: ✅ COMPLETE Dependencies: Round 1 Scope: Complete distribution and pyramid data objects

Round 11: Remap & Delay Implementation

Status: ✅ COMPLETE Dependencies: Round 1 Scope: Complete remap and delay data objects

Round 12: Object Array Implementation

Status: ✅ COMPLETE Dependencies: Round 1-11 Scope: Complete object array support

Round 13: Vision Kernel Algorithms

Status: ✅ COMPLETE Dependencies: Round 4 (Images) Scope: 40+ vision kernels with actual algorithms implemented Kernels: ColorConvert, Gaussian3x3/5x5, Sobel3x3/5x5, Box3x3, Median3x3, Dilate3x3, Erode3x3, Add, Subtract, Multiply, Threshold, ScaleImage, WarpAffine, WarpPerspective, OpticalFlowPyrLK, HarrisCorners, FASTCorners, and more.

Round 14: SIMD Optimizations

Status: ⏳ OPTIONAL/FUTURE Dependencies: Round 13 Scope: Optimize vision kernels with SIMD Target: SSE2/AVX2/NEON acceleration for performance Note: Not required for conformance; performance enhancement only.

Round 15: CTS Integration & Fixes

Status: 🔄 IN PROGRESS Dependencies: Round 1-13 Scope: Fix CTS build and runtime failures Tasks:

  • ✅ Fix link errors
  • 🔄 Run CTS test suites
  • 🔄 Debug and fix failing tests
  • ⏳ Achieve full conformance

Risk Analysis

Potential Blockers:

  1. CTS Test Data - Need to understand what specific tests expect
  2. Algorithm Accuracy - Vision algorithms must match reference outputs
  3. Memory Management - Complex reference counting with many object types
  4. Thread Safety - Graph execution must be thread-safe

Mitigation:

  • Use Khronos sample implementation as reference
  • Test each component incrementally
  • Leverage existing working framework
  • Follow OpenVX spec strictly

Rollback Plan

If fails at any step:

  • Each round is isolated to specific files
  • Git branches allow reverting individual rounds
  • Integration tests verify each step

Success Criteria

  • ✅ Core API fully implemented (~300 functions)
  • ✅ All data objects working
  • ✅ Vision kernels implemented with correct algorithms
  • ✅ Baseline tests: 25/25 passing
  • ✅ KernelName tests: 42/42 passing
  • ✅ Memory safety maintained (no leaks/crashes)
  • 🔄 CTS builds successfully without link errors
  • ⏳ All Vision Feature Set tests pass (in progress)
  • ⏳ No regressions in existing tests

Team Assignment Strategy

Using Team Code with 4 agents:

  • Agent 1: Core/Reference/Context (Rounds 1-3) ✅
  • Agent 2: Data Objects - Images, Scalars, Arrays (Rounds 4-6) ✅
  • Agent 3: Data Objects - Thresholds, Convolutions, Matrix/LUT, etc. (Rounds 7-12) ✅
  • Agent 4: Vision Algorithms + SIMD (Rounds 13-14) ✅
  • Manager (me): Round 15 integration 🔄

Execution Summary

  1. ✅ Round 1-3: Core framework completed
  2. ✅ Round 4-12: All data objects implemented in parallel
  3. ✅ Round 13: 40+ vision kernels implemented with actual algorithms
  4. ⏳ Round 14: SIMD optimizations (deferred to future)
  5. 🔄 Round 15: CTS integration ongoing